Effect Size Matters: How Reporting and Interpreting Effect Sizes Can Improve Your Publication Prospects and Make the World a Better Place! PDF Download
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Author: Paul D. Ellis
Publisher: Madmethods
ISBN: 9781927230565
Category : Social Science
Languages : en
Pages : 94
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Book Description
Want to do research that matters? Want results that make sense? This jargon-free introduction to effect sizes will show you how to the answer the dreaded "So what?" question. It will teach you how to interpret the substantive as opposed to the statistical significance of your results. Find out why your estimate of the effect size is the primary output of your study Learn how to calculate effect sizes in a variety of metrics Boost your publication prospects by interpreting the real-world significance of your results Discover the difference between an effect size and a p-value Understand the critical role of effect sizes in power- and meta-analyses And that's just for starters! Give journal editors what they are asking for - results that are engaging and relevant to stakeholders. Using a class-tested approach, Effect Size Matters will provide you with the tools to meaningfully interpret the results of your research. Book 1 of 3 in the MadMethods series. (Get all three books for less than the price of two with MadMethods 1-3!) Get your copy now!
Author: Paul D. Ellis
Publisher: Madmethods
ISBN: 9781927230565
Category : Social Science
Languages : en
Pages : 94
Get Book Here
Book Description
Want to do research that matters? Want results that make sense? This jargon-free introduction to effect sizes will show you how to the answer the dreaded "So what?" question. It will teach you how to interpret the substantive as opposed to the statistical significance of your results. Find out why your estimate of the effect size is the primary output of your study Learn how to calculate effect sizes in a variety of metrics Boost your publication prospects by interpreting the real-world significance of your results Discover the difference between an effect size and a p-value Understand the critical role of effect sizes in power- and meta-analyses And that's just for starters! Give journal editors what they are asking for - results that are engaging and relevant to stakeholders. Using a class-tested approach, Effect Size Matters will provide you with the tools to meaningfully interpret the results of your research. Book 1 of 3 in the MadMethods series. (Get all three books for less than the price of two with MadMethods 1-3!) Get your copy now!
Author: Paul D. Ellis
Publisher:
ISBN: 9781927230060
Category : Effect sizes (Statistics)
Languages : en
Pages : 35
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Book Description
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Publisher:
ISBN:
Category : Bikini Atoll (Marshall Islands)
Languages : en
Pages :
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 88
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Book Description
The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.
Author: Tom Meyvis
Publisher:
ISBN:
Category :
Languages : en
Pages : 17
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Book Description
As in other social sciences, published findings in consumer research tend to overestimate the size of the effect being investigated, due to both file drawer effects and abuse of researcher degrees of freedom, including opportunistic analysis decisions. Given that most effect sizes are substantially smaller than would be apparent from published research, there has been a widespread call to increase power by increasing sample size. We propose that, aside from increasing sample size, power can also be increased by boosting the effect size. If done correctly, removing participants, using covariates, and optimizing experimental designs, stimuli, and measures can boost effect size without inflating researcher degrees of freedom. In fact, careful planning of studies and analyses to maximize effect size is essential to be able to study many psychologically interesting phenomena when massive sample sizes are not feasible.
Author: Susana Troncoso Skidmore
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Robert Rosenthal
Publisher: Cambridge University Press
ISBN: 9780521652582
Category : Psychology
Languages : en
Pages : 224
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Book Description
Contrasts are statistical procedures for asking focused questions of data. Researchers, teachers of research methods and graduate students will be familiar with the principles and procedures of contrast analysis included here. But they, for the first time, will also be presented with a series of newly developed concepts, measures, and indices that permit a wider and more useful application of contrast analysis. This volume takes on this new approach by introducing a family of correlational effect size estimates. By returning to these correlations throughout the book, the authors demonstrate special adaptations in a variety of contexts from two group comparison to one way analysis of variance contexts, to factorial designs, to repeated measures designs and to the case of multiple contrasts.
Author: Michael Borenstein
Publisher: Wiley-Blackwell
ISBN: 9780470058473
Category : Medical
Languages : en
Pages : 256
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Book Description
There are many issues that researchers need to address in computing treatment effects, many of which have not been tackled thus far in the literature. This book comprehensively addresses all the relevant issues in computing treatment effects, including many not previously detailed in the literature. It examines the relations between the different kinds of treatment effects, and how to convert amongst them, detailing both correlational and continuous data. Introductions and worked examples are provided for all the formulas used and an accompanying website with an instructional version of a computer program that computes treatment effects, allows the reader to perform all the exercises in the book, and check the accuracy of any spreadsheets they constructed.
Author: Olaf Zawacki-Richter
Publisher: Springer Nature
ISBN: 3658276029
Category : Education
Languages : en
Pages : 175
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Book Description
In this open access edited volume, international researchers of the field describe and discuss the systematic review method in its application to research in education. Alongside fundamental methodical considerations, reflections and practice examples are included and provide an introduction and overview on systematic reviews in education research.
Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617
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Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
